@inproceedings{4812f0d27b6148a08aba239810a433d0,
title = "A Recommendation System for Aircraft Parts Processing Methods Based on a Hybrid of Rules and Instances",
abstract = "Addressing the business logic and relevant requirements of process personnel during the selection stage of processing methods for aerospace structural parts, this paper introduces a recommendation system for aircraft parts processing methods based on a hybrid of rules and instances. Firstly, the typical features and processing methods of aircraft parts are defined, vectorized, and their feature similarity is calculated using the Euclidean distance method. Based on industry standards, a rule library for selecting processing methods is established to filter recommendation results. For the characteristics of the parts, the recommendation system retrieves the most similar features and their processing methods from the feature instance library for recommendation. Validation tests demonstrate that this recommendation system can effectively recommend suitable processing methods based on the features of aircraft parts.",
keywords = "feature similarity, processing methods, recommendation system",
author = "Linhao Qin and Yiran Luo and Zhenjun Ming and Hongpeng Zhang and Hu Lu and Wei Chen and Baoguo Chen and Yafeng Ding and Qin Wen and Ruiqiang Lyu",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 7th International Conference on Computer Information Science and Application Technology, CISAT 2024 ; Conference date: 12-07-2024 Through 14-07-2024",
year = "2024",
doi = "10.1109/CISAT62382.2024.10695202",
language = "English",
series = "2024 7th International Conference on Computer Information Science and Application Technology, CISAT 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "803--808",
booktitle = "2024 7th International Conference on Computer Information Science and Application Technology, CISAT 2024",
address = "United States",
}